Amazon Business Intelligence Engineer 

India, Telangana, Hyderabad 

459820296

Key job responsibilities
• Translate business risks and needs into the development of analytics for fraud and risk detection
• Coordinate with technical teams as appropriate to develop and implement analytics and reporting needs
• Partner with stakeholders to gather requirements and integrate necessary data sources to support business analysis and reporting
• Has quantitative or engineering background
• Understands how to use one or more industry analytics and metrics visualization tools (e.g. QuickSight).
• Proficiency in SQL.
• Knowledgeable in a variety of methods for querying, processing, persisting, analyzing and presenting data.
• Understands one or more schema definition languages (e.g. DDL, SDL, XSD, RDF).
• Has a good understanding of data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.
• Proficient in descriptive statistics (i.e. measures of distribution). You are familiar with inferential statistics (e.g. hypothesis testing, confidence intervals) and know when such methods are appropriate.
• Knowledgeable in methods for identifying trends in metrics. Able to segment metrics along suitable dimensions to reveal deeper dynamics.
• Able to dive deeply into technical and operational details of the business (e.g., key dependencies, business drivers/KPIs, develop actionable business insights, etc.) and contribute to a constructive technical discussion.
• Coordinate with global team members to conduct deep dives walk-throughs and quality reviews of evidence to resolve complex problems.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis